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基于表观基因组分析预测和注释增强子的计算方案。

Computational schemes for the prediction and annotation of enhancers from epigenomic assays.

作者信息

Whitaker John W, Nguyen Tung T, Zhu Yun, Wildberg Andre, Wang Wei

机构信息

Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093-0359, United States; Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093-0359, United States.

Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093-0359, United States; Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093-0359, United States.

出版信息

Methods. 2015 Jan 15;72:86-94. doi: 10.1016/j.ymeth.2014.10.008. Epub 2014 Oct 15.

Abstract

Identifying and annotating distal regulatory enhancers is critical to understand the mechanisms that control gene expression and cell-type-specific activities. Next-generation sequencing techniques have provided us an exciting toolkit of genome-wide assays that can be used to predict and annotate enhancers. However, each assay comes with its own specific set of analytical needs if enhancer prediction is to be optimal. Furthermore, integration of multiple genome-wide assays allows for different genomic features to be combined, and can improve predictive performance. Herein, we review the genome-wide assays and analysis schemes that are used to predict and annotate enhancers. In particular, we focus on three key computational topics: predicting enhancer locations, determining the cell-type-specific activity of enhancers, and linking enhancers to their target genes.

摘要

识别和注释远端调控增强子对于理解控制基因表达和细胞类型特异性活动的机制至关重要。新一代测序技术为我们提供了一个令人兴奋的全基因组分析工具包,可用于预测和注释增强子。然而,如果要实现最佳的增强子预测,每种分析方法都有其特定的一套分析需求。此外,整合多种全基因组分析方法可以将不同的基因组特征结合起来,并提高预测性能。在此,我们综述了用于预测和注释增强子的全基因组分析方法和分析方案。特别地,我们关注三个关键的计算主题:预测增强子位置、确定增强子的细胞类型特异性活性以及将增强子与其靶基因联系起来。

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